Shape memory alloy- based actuators are widely applied in the compliant actuating systems. However, the measured data of the SMA-based compliant actuating system reveal the input-output hysteresis behavior, and the actuating precision of the compliant actuating system could be degraded by such hysteresis nonlinearities. To characterize such nonlinearities in the SMA-based compliant actuator precisely, a Jiles-Atherton model is adopted in this paper, and a modified particle swarm optimization algorithm is proposed to identify the parameters in the Jiles-Atherton model, which is (...) a combination of several differential nonlinear equations. Compared with the basic PSO identification algorithm, the designed MPSO algorithm can reduce the local optimum problem so that the Jiles-Atherton model with the identified parameters can show good agreements with the measured experimental data. The good capture ability of the proposed identification algorithm is also examined through the comparisons with Jiles-Atherton model using the basic PSO identification algorithm. (shrink)

Preventing firms from engaging in greenwashing is a topic of significant theoretical and practical interest. This study examines the impact of penalties for environmental violations (PEVs) on mitigating greenwashing using a dataset of firms listed on China's A-share market operating in heavily polluting industries from 2014 to 2020. We also examine how firm-level characteristics moderate the relationship between PEVs and greenwashing. Our results demonstrate that PEVs can deter firms from engaging in greenwashing and that this negative effect is more pronounced (...) for firms with greater financial slack, effective internal controls and political connections. Additional analysis indicates that PEVs have a negative effect on greenwashing for firms in the growth and mature stages but not for firms in the ‘shake-out’ stage, and that there is a deterrence effect. Our findings have important implications for mitigating greenwashing behaviours through collaboration between governments and firms. (shrink)

The long-periodic/infinite discrete Gabor transform is more effective than the periodic/finite one in many applications. In this paper, a fast and effective approach is presented to efficiently compute the Gabor analysis window for arbitrary given synthesis window in DGT of long-periodic/infinite sequences, in which the new orthogonality constraint between analysis window and synthesis window in DGT for long-periodic/infinite sequences is derived and proved to be equivalent to the completeness condition of the long-periodic/infinite DGT. By using the property of delta function, (...) the original orthogonality can be expressed as a certain number of linear equation sets in both the critical sampling case and the oversampling case, which can be fast and efficiently calculated by fast discrete Fourier transform. The computational complexity of the proposed approach is analyzed and compared with that of the existing canonical algorithms. The numerical results indicate that the proposed approach is efficient and fast for computing Gabor analysis window in both the critical sampling case and the oversampling case in comparison to existing algorithms. (shrink)

The progress of electronic health technologies and biobanks holds enormous promise for efficient research. Evidence shows that studies based on sharing and secondary use of data/samples have the potential to significantly advance medical knowledge. However, sharing of such resources for international collaboration is hampered by the lack of clarity about ethical and legal requirements for transfer of data and samples across international borders. Here, the International Clinical Trial Center Network reports the legal and ethical requirements governing data and sample exchange (...) across four continents. The most recurring requirement is ethical approval, whereas only in specific conditions approval of national health authorities is required. Informed consent is not required in all sharing situations. However, waiver of informed consent is only allowed in certain countries/regions and under certain circumstances. The current legal and ethical landscape appears to be very complex and under constant evolution. Regulations differ between countries/regions and are often incomplete, leading to uncertainty. With this work, ICN illuminates the unmet need for a single international collaborative framework to facilitate DSE. Harmonising requirements for global DSE will reduce inefficiency and waste in research. There are many challenges to realising this ambitious vision, including inconsistent terminology and definitions, and heterogeneous and dynamic legal constraints. Here, we identify areas of agreement and significant difference as a necessary first step towards facilitating international collaboration. We propose the establishment of a working group to continue the comparison across jurisdictions, create a standardised glossary and define a set of basic principles and fundamental requirements for DSE. (shrink)

BackgroundExercise is increasingly recognized as a key component of Parkinson’s disease treatment strategies, but the underlying mechanism of how exercise affects PD is not yet fully understood.ObjectiveThe activation likelihood estimation method is used to study the mechanism of exercise affecting PD, providing a theoretical basis for studying exercise and PD, and promoting the health of patients with PD.MethodsRelevant keywords were searched on the PubMed, Cochrane Library, and Web of Science databases. Seven articles were finally included according to the screening criteria, (...) with a total sample size of 97 individuals. Using the GingerALE 3.0.2 software, an ALE meta-analysis was performed using seven studies that met the requirements, and the probability of the cross-experiment activation of each voxel was calculated.ResultsThe meta-analysis produced seven clusters, and major activations were found in the cerebellum, occipital lobe, parietal lobe, and frontal lobe brain regions.ConclusionExercise for PD mainly results in the enhanced activation of the cerebellum, occipital lobe, parietal lobe, and frontal lobe. Exercise for PD does not cause a change in the activation of a single brain area, and the observed improvement may result from coordinated changes in multiple brain areas. (shrink)

100個倫理思想故事，開拓我們的視野和深度與豐富我們的生命內容，並藉此重新回到人的本質並找回追尋幸福的基本方向。 倫理學又稱道德哲學，是以哲學方法研究道德的一門學問，更是一門做人的學問，所以每個人都需要懂一點倫理學。 了解倫理學，也就是在親近道德，也是對人類情感最深切的表達。 很多人覺得倫理學很遙遠，其實它和人類的生活息息相關。因為道德是我們每個人都逃不開也避不掉的存在，雖然它看不見摸不著，卻實實在在影響著我們每一個人，規定並指導著我們每一個人的行為。 道德是人類心目中至高的嚮導，是人類最高貴的情感，是「人民的國家中一種推動的樞紐」。.

100個故事，帶您進入哲學的深邃思想領域，讓您更深層的了解人生！ 羅馬的哲人西塞羅（Cicero）說：「哲學！人生之導師，至善之良友，罪惡之勁敵，假使沒有你，人生又值得什麼！」 本書將帶您步入100個哲學故事，在使您在領略哲學理論的同時，又能真切體味到哲學的韻味。從而使您享受到思想之光的照耀。 書中的每個故事都饒有趣味，極具經典性和代表性，它們濃縮了哲學的精髓。閱讀這些故事，挖掘、汲取含蘊於其中的哲理智慧，不僅可以對哲學的歷史、思想和人物有更真切的理解，還能獲得啟迪，對事業、生活和感情有所幫 助。 本書透過頗具文化韻味的設計、豐富的圖片、簡約大方的版式等各種要素的有機配合，營造了一個輕鬆有趣且充滿文化氣息的閱讀空間，使讀者能感受到文化與藝術的雙重薰陶，獲得一種難以言傳的美妙感受。 無論您是疲倦時，還是休閒時，打開本書，它都將給您最溫馨的感受、智慧的啟迪，在撫慰您精神的同時，讓您的思想得當進一步的昇華。.

Emotion recognition plays an important role in intelligent human–computer interaction, but the related research still faces the problems of low accuracy and subject dependence. In this paper, an open-source software toolbox called MindLink-Eumpy is developed to recognize emotions by integrating electroencephalogram and facial expression information. MindLink-Eumpy first applies a series of tools to automatically obtain physiological data from subjects and then analyzes the obtained facial expression data and EEG data, respectively, and finally fuses the two different signals at a decision (...) level. In the detection of facial expressions, the algorithm used by MindLink-Eumpy is a multitask convolutional neural network based on transfer learning technique. In the detection of EEG, MindLink-Eumpy provides two algorithms, including a subject-dependent model based on support vector machine and a subject-independent model based on long short-term memory network. In the decision-level fusion, weight enumerator and AdaBoost technique are applied to combine the predictions of SVM and CNN. We conducted two offline experiments on the Database for Emotion Analysis Using Physiological Signals dataset and the Multimodal Database for Affect Recognition and Implicit Tagging dataset, respectively, and conducted an online experiment on 15 healthy subjects. The results show that multimodal methods outperform single-modal methods in both offline and online experiments. In the subject-dependent condition, the multimodal method achieved an accuracy of 71.00% in the valence dimension and an accuracy of 72.14% in the arousal dimension. In the subject-independent condition, the LSTM-based method achieved an accuracy of 78.56% in the valence dimension and an accuracy of 77.22% in the arousal dimension. The feasibility and efficiency of MindLink-Eumpy for emotion recognition is thus demonstrated. (shrink)

Despite the increasing number of empirical studies that investigated foreign language writing anxiety and its correlates, there is still a lack of quantitative meta-analytic attempt on the effect sizes among these studies. To bridge the gap, this study identified 84 effect sizes from 22 primary studies to meta-analyze the correlations of foreign language writing anxiety and several key high-and low-evidence correlates. For the two high-evidence correlates, moderator analyses were also conducted, which demonstrated that foreign language writing anxiety has a moderate (...) correlation with foreign language writing self-efficacy and foreign language writing performance. The three low-evidence correlates have positively moderate effects of foreign language listening anxiety, foreign language speaking anxiety and foreign language reading anxiety. The significant moderating effects of learners’ age and language proficiency were obtained. With respect to the results, pedagogical implications were discussed as well. (shrink)

To identify the boundary conditions for proactive employees making whistle-blowing decisions, we developed a cross-level model comprising employee proactive personality and two types of whistle-blowing intentions that incorporates the influences of organizational- and individual-level attributes. Analyses of data collected from 432 Chinese employees in 32 companies indicated that proactive personality was positively related to internal whistle-blowing intention and even more positively related to external whistle-blowing intention when individuals were working in organizations characterized by an instrumental ethical climate and employees with (...) a high level of moral identity. (shrink)

本书描述了自中世纪以来,绘画和雕塑所经历的一系列变化;同时说明了现代考古学、现代摄影术和世界文化的传播。在我们艺术知识的丰富过程中所起的作用。作者通过对艺术的深层阐释,把一些观众看来“无法理解”的艺术 品变成一幅幅清晰的图像,使我们对艺术的理解成为可能。.

Nowadays, the development of human society and daily life are inseparable from the power supply. Therefore, people also put forward higher requirements for the reliability of distribution network, but power companies can only passively deal with distribution network failures, which is a bottleneck for the improvement of distribution network reliability. The Internet of Things is the best solution for online equipment status monitoring and basic data sharing for large, widely distributed, relatively fixed, and large numbers of equipment. The construction of (...) the IoT for power distribution equipment faces many important problems, including the selection of networking, equipment selection, and interaction standards. When researching the implementation plan, research on the distribution of IoT market was carried out. Based on the grid, the idea of optimizing the investment selection plan of the power distribution using IoT was discussed, and a result verification model was established. After the completion of the theoretical part, a case study of medium-voltage distribution grid equipment management and medium-voltage distribution network equipment management based on the grid was carried out by taking a real enterprise application situation as an example. Realizing fault diagnosis of distribution network will not only provide decision support for operation and maintenance of distribution network for power companies, but also have great economic and social benefits. Aiming at the shortcomings of single data mining method in distribution network fault diagnosis, hybrid data mining method is proposed. First, rough set theory is used to reduce the original fault data and form a simplified rule set. Because of the non-linearity of distribution network fault and the strong learning ability, adaptability, and robustness of Bayesian network, Bayesian network can be used to classify distribution network faults. Therefore, a simplified fault diagnosis system is established in this paper, and its correctness is confirmed. Then, the learning and training are carried out by using Bayesian network to call the simplest rule set, which has the characteristics of short learning and training time and high diagnostic accuracy. (shrink)

Event cameras which transmit per-pixel intensity changes have emerged as a promising candidate in applications such as consumer electronics, industrial automation, and autonomous vehicles, owing to their efficiency and robustness. To maintain these inherent advantages, the trade-off between efficiency and accuracy stands as a priority in event-based algorithms. Thanks to the preponderance of deep learning techniques and the compatibility between bio-inspired spiking neural networks and event-based sensors, data-driven approaches have become a hot spot, which along with the dedicated hardware and (...) datasets constitute an emerging field named event-based data-driven technology. Focusing on data-driven technology in event-based vision, this paper first explicates the operating principle, advantages, and intrinsic nature of event cameras, as well as background knowledge in event-based vision, presenting an overview of this research field. Then, we explain why event-based data-driven technology becomes a research focus, including reasons for the rise of event-based vision and the superiority of data-driven approaches over other event-based algorithms. Current status and future trends of event-based data-driven technology are presented successively in terms of hardware, datasets, and algorithms, providing guidance for future research. Generally, this paper reveals the great prospects of event-based data-driven technology and presents a comprehensive overview of this field, aiming at a more efficient and bio-inspired visual system to extract visual features from the external environment. (shrink)

With the rapid development of computer science and information technology, artificial intelligence has been developed from theory to application. As a key technology in the modern society, AI is increasingly affecting all aspects of people’s daily lives, including sports training. AI can be considered as an assistive technology to provide specific support to athletes’ physical education training through various means such as data analysis and simulation of training scenarios. Although research on AI is still in the preliminary stage, it is (...) significant to explore how AI can be applied in sports training since this emerging technology could facilitate people’s physical training to some extent. This paper first reviews the existing research on AI applications. Then, based on the fundamental concept and related research results of AI, this study explores three specific cases of AI application in sports training and explains the main principles. This research focuses on discussing the strong relationship between AI technology and physical education training and highlights the advantages of AI, including utilization, convenience, and innovation. (shrink)

本书收有1987年11月北京召开的首届“政治科学学研讨会”论文20篇,文章用政治科学学观点对近代一些著名的政治科学现象进行了分析研究。.

From 2011 to 2015, it is the period of a rapid and fruitful development for feminist philosophy studies in China. According to the database of China National Knowledge Internet (CNKI), there are 377 articles with the key word of feminist philosophy to have been published in a number of journals in the period. Comparing to 267articles that were published in 2006-2010, the number of periodical articles increases 41%. This not only shows the concern and participation for Chinese scholars to study (...) in feminist philosophy, but also embodies more systematically and richly in research methodologies and subjects, as well as their practical applications. This paper will be a review of the study of Chinese Feminist Philosophy under 8 sub-tittles, and try to analyze the achievement of feminist philosophy in the years 2011—2015 and look forward to the future possibilities for feminist philosophy studies in China. (shrink)